Proceedings of the 2003 International Symposium on Low Power Electronics and Design - ISLPED '03 2003
DOI: 10.1145/871528.871529
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Full chip leakage estimation considering power supply and temperature variations

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Cited by 73 publications
(100 citation statements)
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“…In our experiments we use a die thickness is 0.2mm. To account for CPU cores leakage power temperature dependency, we used the second-order polynomial model that is proposed in [19]. We extracted the model coefficients empirically based on the given normalized leakage values.…”
Section: A Methodologymentioning
confidence: 99%
“…In our experiments we use a die thickness is 0.2mm. To account for CPU cores leakage power temperature dependency, we used the second-order polynomial model that is proposed in [19]. We extracted the model coefficients empirically based on the given normalized leakage values.…”
Section: A Methodologymentioning
confidence: 99%
“…Due to 3D stack structure, the heat generated by the heat sources must flow through the body of the 3D tiers, and end at the environment interface (ambient) where it is spread through natural convection. Then, the heat flow inside this structure is diffusive in nature and hence, is modeled by its equivalence to an electronic RC circuit [8][9][10]. This is done by first dividing the entire structure into small cubical thermal cells as shown in Figure 2a.…”
Section: D Stack Thermal Modelmentioning
confidence: 99%
“…In recent years there has been an increasing interest to provide a detailed die temperature distribution [4,5]. In these works, the authors present different detailed full chip thermal models.…”
Section: Related Workmentioning
confidence: 99%
“…These positions are: close to the processing units (position 1), close to the memory devices (position 2), near the border of the chip (position 3) and surrounded by cooler devices (position 4) For every one of these placements, the thermal map of the register file is acquired supposing an homogeneous access pattern. Figure 6 shows these thermal maps.…”
Section: Optimization Policiesmentioning
confidence: 99%